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Preprint ARTICLE | doi:10.20944/preprints201909.0231.v1

An Algorithm for Nonparametric Estimation of A Multivariate Mixing Distribution with Applications to Population Pharmacokinetics

Walter M. Yamada, Michael N. Neely, Jay Bartroff, David S. Bayard, James V. Burke, Mike van Guilder, Roger W. Jelliffe, Alona Kryshchenko, Robert Leary, Tatiana Tatarinova, Alan Schumitzky

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: mixture distribution; mixture model; high dimensional statistics; nonparametric maximum likelihood; primal-dual interior-point method; adaptive grid

Online: 20 September 2019 (05:17:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201909.0168.v1

Stream Flow and Rainfall Trend Analysis of the Ssezibwa Catchment

Musiime Enos Bahati, Abdul Qayoom Tunji Lawal, Benjamin Aina Peter, Solomon Matovu

Subject: Engineering, Civil Engineering Keywords: Stream flow trend; Rainfall trend; Mann – Kendall trend; Pettit test, Sen’s Slope Estimator; Trend analysis; Change point

Online: 16 September 2019 (16:35:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201905.0185.v1

Projective Mechanisms Subtending Real World Phenomena Wipe Away Cause Effect Relationships

Arturo Tozzi

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: causality; topology; Borsuk-Ulam theorem; fixed point theorem; non-Hermitian systems; Uhlenbeck theorem; dewetting transition; Kneser graphs

Online: 15 May 2019 (10:36:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201812.0249.v1

Grocery Delivery or Customer Pickup - Influences on Energy Consumption and CO₂ Emissions in Munich

Lukas Hardi, Ulrich Wagner

Subject: Engineering, Energy And Fuel Technology Keywords: Grocery Delivery, Energy-Savings, CO2-Savings, Munich, Break-Even Point, Electric Delivery Vehicle, Customer Pickup, Modal Shift

Online: 20 December 2018 (12:46:13 CET)

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Preprint ARTICLE | doi:10.20944/preprints201712.0019.v1

Lévy Femtoscopy with PHENIX at RHIC

Mate Csanad

Subject: Physical Sciences, Nuclear And High Energy Physics Keywords: RHIC; PHENIX; femtoscopy; Bose-Einstein correlations; L\'evy distribution; anomalous diffusion; critical point; in-medium mass modification

Online: 4 December 2017 (07:28:13 CET)

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In this paper we present the measurement of charged pion two-particle femtoscopic correlation functions in

\sqrt{S_{N N}}

= 200 GeV Au+Au collisions, in 31 average transverse mass bins, separately for positive and negative pion pairs. Lévy-shaped source distributions yield a statistically acceptable description of the measured correlation functions, with three physical parameters: correlation strength parameter λ , Lévy index α and Lévy scale parameter R. The transverse mass dependence of these Lévy parameters is then investigated. Their physical interpretation is also discussed, and the appearance of a new scaling variable is observed.

Preprint ARTICLE | doi:10.20944/preprints201705.0096.v1

Successes of Restoration and Its Effect on the Fish Community in a Freshwater Tidal Embayment of the Potomac River, USA

Kim De Mutsert, Amanda Sills, C. J. Carroll Schlick, R. Christian Jones

Subject: Biology And Life Sciences, Ecology, Evolution, Behavior And Systematics Keywords: fish assemblages; community dynamics; alternate stable states; eutrophication; submerged aquatic vegetation; nutrient load reduction; point-source pollution

Online: 11 May 2017 (07:54:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.1727.v1

Cavitating Lesions Around the Cochlea Can Affect Audiometric Threshold and Clinical Practice

Giulia Zambonini, Sara Ghiselli, Giuseppe Di Trapani, Daria Salsi, Domenico Cuda

Subject: Medicine And Pharmacology, Otolaryngology Keywords: third window effect; otosclerosis; osteogenesis imperfecta; cavitating otosclerosis; cavitating osteogenesis imperfecta; pseudo-CHL; internal auditory canal diverticulum; double ring effect; cochlear implant

Online: 25 August 2023 (04:57:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1067.v1

Optimization Imposition upon Drone Gimbal Control Electronics

Erhe Zheng, Timothy Sands

Subject: Engineering, Electrical And Electronic Engineering Keywords: P+V controller; Double integrator patching filter; control law inversion patching filter; RTOC control; open loop control; feedback control; Monte Carlo model

Online: 16 May 2023 (02:38:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0004.v2

Spirals and Rings in Barred Galaxies by the ROTASE Model

Hongjun Pan

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: ROTASE model; formation of spiral arms; X-matter; black hole; matter conversion; hydrogen generation; chain-link; single ring; double rings; ring crossing

Online: 2 November 2021 (17:48:35 CET)

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Preprint ARTICLE | doi:10.20944/preprints202409.1075.v1

Robust and Accurate Recognition of Carriage Linear Array Images for Train Fault Detection

Zhenzhou Fu, Xiao Pan

Subject: Engineering, Transportation Science And Technology Keywords: High-resolution image recognition; point set registration; weighted radial basis function; non-linear scale distortion; gaussian mixture model

Online: 13 September 2024 (10:41:07 CEST)

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Train fault detection primarily relies on the comparative analysis of collected images with standard reference images, making the accurate identification of the collected image types crucial for effective fault detection. Most current systems achieve indirect classification of carriage images by using Automatic Equipment Identification (AEI) devices to recognize carriage identification number information while capturing the carriage images. However, damaged RF tags or blurred characters can hinder these devices, obstructing further train fault analyses. The unique features of carriage linear array images, such as high resolution, extreme aspect ratios, and local non-linear distortions, pose significant challenges to recognition algorithms. This paper proposes a method specifically designed to recognize these types of images. First, we implement an object detection algorithm to locate the positions of key components in carriage linear array images. By leveraging the spatial layout mapping between these key components and the carriage type classification, we simplify the complex image recognition problem into a sparse point set alignment task. To ensure effective registration despite local distortions in the linear array images, we propose a weighted radial basis function. To address the issues of unknown matching relationships and quantity mismatches during point set alignment, the proposed objective function is designed to maximize the similarity between Gaussian mixtures of point sets, thereby determining the RBF weights. Extensive experiments have demonstrated that our algorithm achieves 100% recognition accuracy under local nonlinear scale distortions of less than 15%. The algorithm remains effective even in the presence of some false positives or missed detections in key component object detection results. It can accurately identify the target category from 79 image categories within 24 milliseconds on an i7 CPU without GPU support. It is of great significance to reduce system cost and promote automatic exterior fault detection for train rolling stock.

Preprint ARTICLE | doi:10.20944/preprints202408.0257.v1

Manual Therapy Improves Fibromyalgia Symptoms by Downregulating SIK1

Javier Bonastre-Férez, Karen Giménez-Orenga, Francisco Javier Falaguera-Vera, María Garcia-Escudero, Elisa Oltra

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: fibromyalgia; myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS); pressure point threshold (PPT); physiotherapy; manual therapy (MT); NCT04174300; SIK1

Online: 5 August 2024 (08:18:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0706.v1

Point Cloud Densification Algorithm for Multiple Cameras and Lidars Data Fusion

Jakub Winter, Robert Nowak

Subject: Computer Science And Mathematics, Signal Processing Keywords: data fusion; point cloud densification; autonomous vehicle perception systems; stereovision; lidar; camera; dynamic programming; open source; C++; Python

Online: 9 July 2024 (08:18:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1728.v1

Variable Doppler Starting Point Keystone Transform for Radar Maneuvering Target Detection

Wei Jia, Yuan Feng, Xingshuai Qiao, Tianrun Wang, Tao Shan

Subject: Engineering, Telecommunications Keywords: maneuvering target detection; range migration (RM); keystone transform (KT); sinc interpolation; variable Doppler starting point keystone transform (VDSPKT)

Online: 28 March 2024 (08:46:23 CET)

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Preprint ARTICLE | doi:10.20944/preprints202301.0343.v1

An Integrative Analysis of Chromatin Interactions, Gene Expression and Genomic Variants Identifies 30 Likely Regulatory Variants in Prostate Cancer

Mahdieh Labani, Amin Beheshti, Ahmadreza Argha, Hamid Alinejad

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Prostate cancer; Somatic point mutations; Copy number variation; Regulatory variant, Hi-C; Per-sonalized medicine; Biomedical machine learning

Online: 19 January 2023 (02:10:02 CET)

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Preprint ARTICLE | doi:10.20944/preprints202207.0269.v1

Analytical Derivations of Critical Temperatures in Every Type of Fe-Based Superconductors Based on Two Electrons’ Rotational Model

Shinichi Ishiguri

Subject: Physical Sciences, Condensed Matter Physics Keywords: Fe-based superconductor; critical temperature; transition temperature; attractive Lorentz force; Tc-dome diagram; structure transition; quantum critical point

Online: 18 July 2022 (11:03:33 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0146.v1

Performance Analysis of Heterogeneous Networks in Presence of Deliberate Jammers Using Reverse Frequency Allocation

Muhammad Ihsan Ur Rehman, Muhammad Qasim, Abdul Wakeel, Mehmood Alam, Mir Yasir Umair

Subject: Engineering, Electrical And Electronic Engineering Keywords: Heterogeneous Cellular Networks; Deliberate Jamming; Inter-cell Interference; Independent Homogenous Poisson Point Process; Coverage Probability; Reverse Frequency Allocation

Online: 8 September 2021 (11:57:04 CEST)

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Working Paper ARTICLE

MPPT Circuit Using Time Exponential Rate Perturbation and Observation for Enhanced Tracking Efficiency for a Wide Resistance Range of Thermoelectric Generator

Jie Miao, Houpeng Chen, Yu Lei, Yi Lv, Weili Liu, Zhitang Song

Subject: Engineering, Automotive Engineering Keywords: maximum power point tracking (MPPT); thermoelectric generator (TEG); time exponential rate perturbation and observation (P&O); power modulator

Online: 19 April 2021 (13:26:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202012.0263.v1

Scaling of Phase Diagram and Critical Point Parameters in Liquid-Vapour Phase Transition of Metallic Fluids

S.V.G. Menon

Subject: Physical Sciences, Acoustics Keywords: Liquid-vapour phase transition; metals; thermodynamic perturbation theory; coupling-parameter expansion; critical point parameters; universal aspects; scaled variables.

Online: 10 December 2020 (13:40:39 CET)

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Preprint ARTICLE | doi:10.20944/preprints202012.0086.v1

Monolithic Solvers for Incompressible Two-Phase Flows at Large Density and Viscosity Ratios

Mohamed EL OUAFA, stephane vincent, Vincent Le Chenadec

Subject: Engineering, Automotive Engineering Keywords: Velocity–pressure coupling; Fully coupled solvers; Augmented Lagrangian; two-phase flows; saddle point; projection method; preconditioning; smooth VOF

Online: 3 December 2020 (13:50:52 CET)

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Preprint ARTICLE | doi:10.20944/preprints202009.0498.v1

Energy Engineering Approach for Rural Areas Cattle Farmers in Bangladesh to Reduce COVID-19 Impact on Food-Safety

Mohammad Nur-E-Alam, Mohammad Nasirul Hoque, Soyed Mohiuddin Ahmed, Mohammad Khairul Basher, and Narottam Das

Subject: Engineering, Energy And Fuel Technology Keywords: Cattle farming; COVID-19 pandemic; economic point of view; food safety; HOMER; hybrid system; smallholder; thin-film coating

Online: 21 September 2020 (07:32:51 CEST)

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This paper reports on the optimization of thin-film coating assisted self-sustainable off-grid hybrid power generation systems for cattle farming in rural areas of Bangladesh. Bangladesh is a lower middle-income country with declining rates of poverty among its 160 million people due to persistent economic growth in conjunction with balanced agricultural improvements. Most of the rural households adopt a mixed farming system by cultivating crops and simultaneously rearing livestock. Among the animals raised, cattle are considered as the most valuable asset for the small/medium-scale farmers in terms of their meat and milk production. Currently, along with the major health issue, the COVID-19 pandemic is hindering the world’s economic growth and has thrust millions into unemployment; Bangladesh is also in this loop. However, natural disasters such as COVID-19 pandemic and floods, largely constrain rural smallholder cattle farmers from climbing out of their poverty. In particular, small and medium-scale cattle farmers face many issues that obstruct them from taking advantage of market opportunities and imposing a greater burden on their families and incomes. An appropriate measure can give a way to make those cattle farmers’ businesses both profitable and sustainable. Optimization of thin-film coating assisted self-sustainable off-grid hybrid power generation system for cattle farming is a new and forward-looking approach for sustainable development of the livestock sector. In this study, we design and optimize a thin-film coating assisted hybrid (photovoltaic-battery-generator) power system by using the Hybrid Optimization of Multiple Energy Resources (HOMER, Version 3.14.0) simulation tool. An analysis of the results has suggested that the off-grid hybrid system is more feasible for small and medium-scale cattle farming systems with long-term sustainability to overcome the significant challenges faced by smallholder cattle farmers in Bangladesh.

Preprint ARTICLE | doi:10.20944/preprints202004.0165.v2

The Covid-19 Virus Double Pathogenic Mechanism. A New Perspective

Carlo Brogna

Subject: Medicine And Pharmacology, Pharmacology And Toxicology Keywords: Covid-19; Blastn; toxins protein; ACh; aChE; BuChE; CBP; Zero Point; bungaro-toxins, phospholipase A2; similar prothrombin activator protein

Online: 19 April 2020 (06:51:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202002.0176.v1

On the Solutions of Nonlinear Hybrid Fractional Integrodifferential Equations

Faten H. Damag, Adem Kılıçman, Awsan T. Al-Arioi

Subject: Computer Science And Mathematics, Analysis Keywords: hybrid fractional integrodifferential equation; hybrid fixed point theorems of Dhage; approximations solutions; Lipschitz conditions; weaker mixed partial continuity

Online: 14 February 2020 (02:12:02 CET)

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Preprint REVIEW | doi:10.20944/preprints201912.0061.v1

A Study Analysis on Effect of Software Scope Management and Scope creeping Factors in Software Project Management

Mehreen Sirshar, Muneeza Khalid

Subject: Engineering, Control And Systems Engineering Keywords: scope creep; software engineering; software project management; work breakdown structure; agile method; traditional methodology; functional point analysis; stakeholders

Online: 5 December 2019 (04:20:06 CET)

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Preprint ARTICLE | doi:10.20944/preprints201911.0381.v1

Kernel Complexity for Nonparametric Distributions and Detection of Its Changes

So Hirai, Kenji Yamanishi

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: change-point detection; kernel density estimation; normalized maximum likelihood (NML); minimum description length (MDL) principle; kernel complexity (KC)

Online: 3 December 2019 (03:34:19 CET)

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Preprint ARTICLE | doi:10.20944/preprints201911.0253.v1

Calculating Point Cloud Object Volume Using Co-Opposite-Direction Slicing Method

Bin Li, Xiaowei Bi, Cheng Peng, Yong Chen, Xiaofa Zhao, Chengsheng Yang

Subject: Computer Science And Mathematics, Computational Mathematics Keywords: point cloud objects (PCOs); volume calculation (VC); co-opposite-direction slicing method (CODSM); systematic directional errors; random errors

Online: 22 November 2019 (05:37:00 CET)

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Working Paper REVIEW

An Overview of Imaging Lidar Sensors for Autonomous Vehicles

Santiago Royo, Maria Ballesta

Subject: Engineering, Automotive Engineering Keywords: lidar, ladar, time of flight, 3D imaging, point cloud, MEMS, scanners, photodetectors, lasers, autonomous vehicles, self-driving car

Online: 8 August 2019 (12:23:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201905.0287.v1

Accounting for Wood, Foliage Properties and Laser Effective Footprint in Estimations of Leaf Area Density from multiview-LiDAR Data

Francois Pimont, Maxime Soma, Jean-Luc Dupuy

Subject: Environmental And Earth Sciences, Environmental Science Keywords: bias; efficiency; element size; LAD; LAI; leaf and wood separation; LiDAR; multiple viewpoints; point cloud; TLS; UAV; voxel

Online: 24 May 2019 (07:53:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201811.0222.v1

From LiDAR waveforms to Hyper Point Clouds: a novel data product to characterize vegetation structure

Tan Zhou, Sorin Popescu, Lonesome Malambo, Kaiguang Zhao, Keith Krause

Subject: Environmental And Earth Sciences, Environmental Science Keywords: hyper point cloud (HPC); HPC-based intensity surface; percentile height; gridding; full waveform LiDAR; tree segmentation; vegetation structure

Online: 8 November 2018 (14:56:35 CET)

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Full waveform (FW) LiDAR holds great potential for retrieving vegetation structure parameters at a high level of detail, but this prospect is constrained by practical factors such as lack of available handy processing tools and technical intricacy of waveform processing. This study introduces a new product, named the Hyper Point Cloud (HPC) derived from FW LiDAR data, and explore its potential applications such as tree crown delineation using the HPC-based intensity and percentile height (PH) surfaces, which show a promising solution to the constraints of using FW LiDAR data. Results of the HPC present a new direction to handle FW LiDAR data and offer prospects for studying the mid-story and understory of vegetation with high point density (~ 182 points/m2). The intensity-derived digital surface model (DSM) generated from the HPC shows that the ground region has larger maximum intensity (MAXI) and mean intensity (MI) than the vegetation region while having smaller total intensity (TI) and number of intensities (NI) at the given grid cell. Our analysis of intensity distribution contours at individual tree level exhibit similar patterns, indicating that the MAXI and MI are decreasing from the tree crown center to tree boundary while a rising trend is observed for TI and NI. These intensity variable contours provide a theoretical justification for using HPC-based intensity surfaces to segment tree crowns and exploit their potential for extracting tree attributes. The HPC-based intensity surfaces and the HPC-based PH Canopy Height Models (CHM) demonstrate promising tree segmentation results comparable to the LiDAR derived CHM for estimating tree attributes such as tree locations, crown widths and tree heights. We envision that products such as the HPC and the HPC-based intensity and height surfaces introduced in this study can open new perspectives to use FW LiDAR data and alleviate the technical barrier of exploring FW LiDAR data for detailed vegetation structure characterization.

Preprint ARTICLE | doi:10.20944/preprints201806.0277.v1

A Smart Two-Stage Charging Strategy Implemented on a PV Module Array with a Simple MPPT for LiFePO4 Batteries

Pi-Yun Chen, Kuei-Hsiang Chao, Yu-Sheng Tsai

Subject: Engineering, Energy And Fuel Technology Keywords: battery charger; photovoltaic module array; LiFePO4 battery; Buck converter; maximum power point tracker; smart two-stage charging strategy

Online: 18 June 2018 (15:55:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201805.0354.v1

Multiple Fault Location in a Photovoltaic Array Using Bidirectional Hetero-Associative Memory Network in Micro-distribution Systems

Long-Yi Chang, Neng-Sheng Pai, Min-Hung Chou, Jian-Liung Chen, Chao-Lin Kuo, Chia-Hung Lin

Subject: Engineering, Energy And Fuel Technology Keywords: Rooftop Photovoltaic (PV) System, Maximum Power Point Tracking (MPPT), Power Degradation Index, Bidirectional Hetero-Associative Memory Network (BHAM).

Online: 24 May 2018 (16:27:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201803.0158.v1

Maximum Power Point Tracking for Brushless DC Motor Driven Photovoltaic Pumping System Using Hybrid ANFIS-FLOWER Pollination Optimization Algorithm

Neeraj Priyadarshi, Sanjeevikumar Padmanaban, Lucian Mihet-Popa, Frede Blaabjerg, Farooque Azam

Subject: Engineering, Electrical And Electronic Engineering Keywords: ANFIS; artificial neural network; brushless DC motor; FPA; maximum power point tracking; photovoltaic system; root mean square error

Online: 19 March 2018 (11:04:32 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.0898.v1

Double – Gold/Nitrogen – Nanosecond-Laser Doping of Gold-Coated Silicon Wafer Surface in Liquid Nitrogen

Sergey Kudryashov, Alena Nastulyavichus, Victoria Pryakhina, Evgenia Ulturgasheva, Michael Kovalev, Ivan Podlesnykh, Nikita Stsepuro, Vadim Shakhnov

Subject: Chemistry And Materials Science, Nanotechnology Keywords: nanosecond laser; Si wafer; top Au film; liquid-nitrogen environment; Au/N double-element doping; nano-recrystallization of Si; mid-IR-vis absorption

Online: 11 October 2024 (10:21:31 CEST)

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Novel double-impurity doping process for silicon (Si) surfaces was developed, utilizing nanosecond-laser melting of a top 11-nm thick gold (Au) film and a Si wafer substrate in a laser plasma-activated liquid-nitrogen (LN) environment. Scanning electron microscopy revealed the fluence- and exposure-independent surface micro-spike topography, while energy-dispersive x-ray spectroscopy identified minor Au (0.05 at. %) and major N (1-2 at. %) dopants, localized within a 0.5-m thick surface layer, and slight surface post-oxidation of the micro-relief (oxygen (O), 1.5-2.5 at. %). X-ray photoelectron spectroscopy identified bound surface (SiNx) and bulk doping chemical states of the introduced nitrogen (10 at. %), metallic (<0.01 at. %) and cluster (<0.1 at. %) forms of gold dopant, and evaluated their depth distributions, strongly affected by the competition between gold dopant in its marginal local concentrations and other more abundant dopants (N, O). 532-nm Raman micro-spectroscopy indicated the slight reduction of the crystalline order revealed in the second-order Si phonon band, nanoscale dimensions of the resolidified Si nano-crystallites envisioned by the main Si optical-phonon peak, negligible a-Si abundance and a low-wavenumber peak of Si3N4 structure. In contrast, Fourier-transform infrared (FT-IR) 2D-mapping exhibited the only broad structureless absorption bands in the range of 600-5500 cm-1 related to dopant absorption and light-trapping in the surface micro-relief. The room-temperature electrical characteristics of the laser-double-doped Si layer – carrier mobility of 1050 cm2/Vs and background carrier sheet concentration 21010 cm-2 (bulk concentration 1014-1015 cm-3) – are superior regarding previously reported parameters of nitrogen-implanted/annealed Si samples. This novel facile double-element laser-doping procedure paves the way toward local mask-less on-demand introduction of multiple intra-gap intermediate donor and acceptor bands in Si, providing its related multi-wavelength IR photoconductivity for optoelectronic applications.

Preprint ARTICLE | doi:10.20944/preprints202409.0388.v1

An Interdisciplinary Double-Diamond Design Thinking Model for Urban Transport Product Innovation: A Design Framework for Innovation Combining Mixed Methods for Developing the Electric Microvehicle “Leonardo Project”

Sara Viviani, Michelangelo-Santo Gulino, Alessandra Rinaldi, Dario Vangi

Subject: Engineering, Transportation Science And Technology Keywords: interdisciplinary design model for urban transport product innovation; double-diamond design thinking model; interdisciplinary research methods; mixed-methods; electric microvehicle; micromobility; sustainable mobility

Online: 5 September 2024 (11:04:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.0862.v1

Skeletal Space Structure Systems: Select Areas of Opportunity to Achieve Sustainability in Construction

Shahrokh Maalek, Reza Maalek, Bahareh Maalek

Subject: Engineering, Civil Engineering Keywords: space structure systems; composite structures; double- and single-layer grid structures; sustainability in design; mass customization; kit-of-parts; digital engineering and construction

Online: 13 July 2023 (03:12:55 CEST)

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Preprint CASE REPORT | doi:10.20944/preprints202009.0009.v1

Efficacy of Double Dose Dapsone Combination Therapy in the Treatment of Chronic Lyme Disease/Post-Treatment Lyme Disease Syndrome (PTLDS) and Associated Co-infections: A Report of Three Cases

Richard Horowitz, Phyllis R. Freeman

Subject: Medicine And Pharmacology, Clinical Medicine Keywords: Lyme disease; Post-Treatment Lyme Disease Syndrome (PTLDS); dapsone combination therapy (DDS CT); double dose dapsone combination therapy (DDD CT); babesiosis; persistent infection

Online: 1 September 2020 (11:30:52 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.0459.v1

Mono- and Binuclear Complexes in a Centrifuge-Less Cloud Point Extraction System for the Spectrophotometric Determination of Zinc(II)

Kiril B. Gavazov, Petya V. Racheva, Antoaneta D. Saravanska, Fatma Genc, Vassil B. Delchev

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: Zinc(II); Centrifuge-less cloud point extraction; 6-Hexyl-4-(2-thiazolylazo)resorcinol; Spectrophotometric determination; TD DFT; Binuclear complex.

Online: 5 September 2024 (12:09:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.2176.v1

A Fast Registration Method Combining Self-Adaptive Segmentation Model and NDT for MEMS LiDAR Point Cloud

Xuemei Li, Bin Liu, Shangsong Lv, Min Li, Chengjie Liu

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Intelligent information perception; point cloud registration; vehicle mounted MEMS LiDAR; SSM-NDT algorithm; self-adaptive segmentation model; autonomous vehicle

Online: 30 June 2023 (07:28:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.2022.v1

3D Point Cloud Enriched Semantic Segmentation through Knowledge-Enhanced Deep Learning Technique

Zouhair Ballouch, Rafika Hajji, Abderrazzaq Kharroubi, Florent Poux, Roland Billen

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: smart fusion approach; enriched semantic segmentation; LiDAR point clouds; images data; data fusion; prior knowledge; deep learning; urban environment

Online: 29 June 2023 (05:41:26 CEST)

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Digital Twin Cities (DTCs) play a fundamental role in city planning and management. They allow three-dimensional modeling and simulation of cities. 3D semantic segmentation is the foundation for automatically creating enriched DTCs, as well as their updates. Past studies indicate that prior level fusion approaches demonstrate more promising precisions in 3D semantic segmentation compared to point level fusion, features level fusion, and decision level fusion families. In order to improve point cloud enriched semantic segmentation outcomes, this article proposes a new approach for 3D point cloud semantic segmentation through developing and benchmarking three prior level fusion scenarios. A reference approach based on point clouds and aerial images was proposed to compare it with the different developed scenarios. In each scenario, we inject a specific prior knowledge (geometric features,classified images ,etc) and aerial images as attributes of point clouds into the neural network’s learning pipeline. The objective is to find the one that integrates the most significant prior knowledge and enhances neural network knowledge more profoundly, which we have named the "smart fusion approach". The advanced Deep Learning algorithm "RandLaNet" was adopted to implement the different proposed scenarios and the reference approach, due to its excellent performance demonstrated in the literature. The introduction of some significant features associated with the label classes facilitated the learning process and improved the semantic segmentation results that can be achievable with the same neural network alone. Overall, our contribution provides a promising solution for addressing some challenges, in particular more accurate extraction of semantically rich objects from the urban fabric. An assessment of the semantic segmentation results obtained by the different scenarios is performed based on metrics computation and visual investigations. Finally,the smart fusion approach was derived based on the obtained qualitative and quantitative results.

Preprint ARTICLE | doi:10.20944/preprints202306.0092.v1

Uncovering Bias in Objective Mapping and Subjective Perception of Urban Building Functionality: A Machine Learning Approach to Urban Spatial Perception

Jiaxin Zhang, Zhilin Yu, Yunqin Li, Xueqiang Wang

Subject: Engineering, Architecture, Building And Construction Keywords: Urban spatial perception; building function classification; objective mapping; subjective perception; machine learning; point of interest (POI); street view images

Online: 1 June 2023 (13:07:49 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202305.0909.v1

Oxidative Stress Sensing System for 8-OHdG Detection Based on Plasma Coupled Electrochemistry by Transparent ITO/AuNTAs/PtNPs Electrode

Yongchang Bai, Shuang Li

Subject: Engineering, Bioengineering Keywords: 8-hydroxydeoxyguanosine (8-OHdG); Oxidative stress; Indium tin oxide (ITO) electrode; Integrated circuit system; Point-of-care testing (POCT)

Online: 12 May 2023 (08:59:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202211.0285.v1

Inter-rater Variability in the Evaluation of Lung Ultrasound on Videos Acquired from COVID-19 Patients

Joaquin L. Herraiz, Clara Freijo, Jorge Camacho, Mario Muñoz, Ricardo González, Rafael Alonso-Roca, Jorge Álvarez-Troncoso, Luis Matías Beltrán-Romero, Máximo Bernabeu-Wittel, Rafael Blancas, Antonio Calvo-Cebrián, Ricardo Campo-Linares, Jaldún Chehayeb-Morán, Jose Chorda-Ribelles, Samuel García-Rubio, Gonzalo García-de-Casasola, Adriana Gil-Rodrigo, César Henríquez-Camacho, Alba Hernandez-Píriz, Carlos Hernandez-Quiles, Rafael Llamas-Fuentes, Davide Luordo, Raquel Marín-Baselga, María Cristina Martínez-Díaz, María Mateos-González, Manuel Mendez-Bailon, Francisco Miralles-Aguiar, Ramón Nogue, Marta Nogué, Borja Ortiz de Urbina-Antia, Alberto Ángel Oviedo-García, José M. Porcel, Santiago Rodriguez, Diego Aníbal Rodríguez-Serrano, Talía Sainz, Ignacio Manuel Sánchez-Barrancos, Marta Torres-Arrese, Juan Torres-Macho, Ángela Trueba-Vicente, Tomas Villen-Villegas, Juan José Zafra-Sánchez, Yale Tung-Chen

Subject: Medicine And Pharmacology, Pulmonary And Respiratory Medicine Keywords: Coronavirus disease 2019; interobserver agreement; interrater reliability; lung ultrasound; point-of-care ultrasound; reliability; severe acute respiratory syndrome; ultrasound

Online: 15 November 2022 (09:57:17 CET)

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Preprint ARTICLE | doi:10.20944/preprints202207.0440.v1

The IASI Water Deficit Index to Monitor the Vegetation Stress and the Early Drying in Summer Because of Heatwaves: an Application to Southern Italy

Guido Masiello, Francesco Ripullone, Italia De Feis, Angelo Rita, Luigi Saulino, Pamela Pasquariello, Angela Cersosimo, Sara Venafra, Carmine Serio

Subject: Environmental And Earth Sciences, Environmental Science Keywords: climate change; drought; water deficit index; infrared observations; satellite; remote sensing; surface temperature; air temperature; humidity; dew point temperature

Online: 29 July 2022 (02:36:22 CEST)

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Preprint REVIEW | doi:10.20944/preprints202011.0156.v1

Biosensors for the Detection of Bacterial and Viral Clinical Pathogens and COVID-19 Diagnosis

Luis Castillo-Henríquez, Mariana Brenes-Acuña, Arianna Castro-Rojas, Rolando Cordero-Salmerón, Mary Lopretti, José Roberto Vega-Baudrit

Subject: Chemistry And Materials Science, Nanotechnology Keywords: Bacterial detection; Biosensors; Clinical pathogen; COVID-19; Electrospun nanofibers; Nano-biosensors; Point-of-care; SARS-CoV-2; Viral detection.

Online: 3 November 2020 (14:15:34 CET)

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Preprint REVIEW | doi:10.20944/preprints202002.0427.v1

A Comprehensive Understanding of UA-ADRCs (Uncultured, Autologous, Fresh, Unmodified, Adipose Derived Regenerative Cells, Isolated at Point of Care) in Regenerative Medicine

Eckhard Alt, Glenn Winnier, Alexander Haenel, Ralf Rothoerl, Oender Solakoglu, Christopher Alt, Christoph Schmitz

Subject: Medicine And Pharmacology, Clinical Medicine Keywords: adipose derived regenerative cells; ADRCs, efficacy; point of care treatment; randomized controlled trials; safety; stem cells; stromal vascular fraction

Online: 28 February 2020 (12:12:23 CET)

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Preprint ARTICLE | doi:10.20944/preprints201912.0418.v1

Mapping Vegetation at Species Level with High-Resolution Multispectral and Lidar Data over Large Spatial Area: A Case Study with Kudzu

Wanwan Liang, Mongi Abidi, Luis Carrasco, Jack McNelis, Liem Tran, Yingkui Li, Jerome Grant

Subject: Environmental And Earth Sciences, Environmental Science Keywords: detailed vegetation mapping; kudzu mapping; coarse label; two-step classification; object-based image analysis; lidar point clouds; sampling specificity

Online: 31 December 2019 (16:58:25 CET)

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Mapping vegetation species is critical to facilitate related quantitative assessment, and for invasive plants mapping their distribution is important to enhance monitoring and controlling activities. Integrating high resolution multispectral remote sensing (RS) image and lidar (light detection and ranging) point clouds can provide robust features for vegetation mapping. However, using multiple source of high-resolution RS data for vegetation mapping at large spatial scale can be both computationally and sampling intensive. Here we designed a two-step classification workflow to decrease computational cost and sampling effort, and to increase classification accuracy by integrating multispectral and lidar data to derive spectral, textural, and structural features for mapping target vegetation species. We used this workflow to classify kudzu, an aggressive invasive vine, in the entire Knox County (1,362 km2) of Tennessee, the United States. Object-based image analysis was conducted in the workflow. The first-step classification used 320 kudzu samples and extensive coarsely labeled samples (based on national land cover) to generate an overprediction map of kudzu using random forest (RF). For the second step, 350 samples were randomly extracted from the overpredicted kudzu and labeled manually for the final prediction using RF and support vector machine (SVM). Computationally intensive features were only used for the second-step classification. SVM had constantly better accuracy than RF, and the Producer’s Accuracy, User’s Accuracy, and Kappa for the SVM model on kudzu was 0.94, 0.96, and 0.90, respectively. SVM predicted 1010 kudzu patches covering 1.29 km2 in Knox County. We found the sample size of kudzu used for algorithm training impacted the accuracy and number of kudzu predicted. The proposed workflow could also improve sampling efficiency and specificity. Our workflow had much higher accuracy than the traditional method conducted in this research, and could be easily implemented to map kudzu in other regions or other vegetation species.

Preprint ARTICLE | doi:10.20944/preprints202310.0053.v1

On the Origin of Aging by Means of Natural Selection

Richard Francis Walker

Subject: Biology And Life Sciences, Aging Keywords: aging vs survival; DNA damage; double-stranded breaks; Gompertz-Makeham Law; developmental regulatory redundancy; tradeoffs vs emergent properties; fecundity; reproductive fitness; redundancy reliabiiity; programmed aging

Online: 2 October 2023 (08:08:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0251.v1

Proposal of a New Double-Nozzle Technique for In-Gas-Jet Laser Resonance Ionization Spectroscopy

Victor Varentsov

Subject: Physical Sciences, Atomic And Molecular Physics Keywords: radioactive atomic beams; gas stopping cell; supersonic gas jet; in-gas-jet laser resonance ionization spectroscopy; double-nozzle technique; gas dynamic and Monte Carlo simulations

Online: 12 April 2023 (07:30:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.0578.v1

Point of Common Connection Voltage Modulated Direct Power Control with Disturbance Observer to Increase of Renewable Energy Acceptance in Power System

Yong Woo Jeong, Woo Young Choi

Subject: Engineering, Electrical And Electronic Engineering Keywords: Grid voltage modulated power control; Point of common connection; Energy storage system; Voltage source inverter; Disturbance observer; Total harmonic distortion

Online: 9 September 2024 (08:00:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202401.0366.v1

Exploring the Value of Optical Coherence Tomography Parameters in Estimating Non-critical Lesions in Patients with Acute Myocardial Infarction

Vlad Ploscaru, Lucian Câlmâc, Mircea Bajdechi, Borina Alin, Nicoleta Popa Fotea, Bogdan Dragoescu, Ali Cherry, Cosmin Mihai, Mugur Marinescu, Alexandra Dumitru, Daniel Tonu, Ioan-Teodor Bajeu, Diana Stanciulescu, Alexandru Scafa-Udriște

Subject: Medicine And Pharmacology, Cardiac And Cardiovascular Systems Keywords: Acute myocardial infarction; optical coherence tomography; fractional flow reserve; minimal lumen area; percent luminal stenosis area; critical cut-off point

Online: 4 January 2024 (09:38:28 CET)

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Background: Coronary artery disease (CAD) remains a significant global health concern, being one of the most important contributors to morbidity and mortality worldwide. Accurate assessment of coronary lesions is crucial for guiding appropriate interventions and optimizing patient outcomes. Patients with acute myocardial infarction represent a population which is rarely selected in studies of intracoronary hemodynamics. Fractional Flow Reserve (FFR) has emerged as a valuable physiological index for evaluating the functional significance of coronary lesions, although the data of intravascular hemodynamic evaluation in patients with acute myocardial infarction is scarce [1-3]. In recent years, advancements in intravascular imaging techniques, such as Optical Coherence Tomography (OCT), have provided detailed insights into coronary anatomy both in acute or elective settings. [4-7]. Methods: This article aims to explore the correlation between different non-culprit vessel OCT-parameters and FFR value in the patients with recent acute myocardial infarction. The study included 114 patients with acute myocardial infarction (ST elevation myocardial infarction and non ST elevation myocardial infarction)for whom primary PCI (percutaneous coronary intervention) was performed for the culprit lesion. The non-culprit vessels with intermediate coronary stenoses (157 lesions) were evaluated in a staged procedure (during the index hospitalization) with OCT, FFR and revascularization was performed accordingly. Minimal luminal area (MLA) and percent luminal area stenosis (PSA) were analyzed in relation with the FFR value. Results: There is good correlation between OCT-derived parameters and FFR values in patients with recent acute myocardial infarction. Minimal luminal area (MLA) and percent luminal stenosis area (PSA) were independent predictors of FFR< 0,80 in multivariate logistic regression analysis. A value of 2,08 mm2 for the MLA and 76,85 % for the PSA have proved to be the best cut-offs for predicting a FFR< 0,80. Conclusions: OCT parameters are valuable additional tools in current angiographic practice, including patients with acute myocardial infarction, with the ability to bring numerous direct imagistic and indirect hemodynamic information.

Preprint ARTICLE | doi:10.20944/preprints202301.0484.v1

Ekeland Variational Principle and Some of Its Equivalents on a Weighted Graph, Completeness and the Osc Property

Ali Basit, Stefan Cobzas, Mokhwetha Daniel Mabula

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Ekeland variational principle; Takahashi minimization principle; Caristi fixed point theorem; weighted graph; partially ordered metric space; completeness; the OSC property

Online: 26 January 2023 (17:12:51 CET)

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Preprint ARTICLE | doi:10.20944/preprints202210.0260.v1

Induction Generator with Direct Control and a Limited Number of Measurements on the Side of the Converter Connected to the Power Grid

Andrzej Kasprowicz, Ryszard Strzelecki

Subject: Engineering, Electrical And Electronic Engineering Keywords: induction generator; Direct Field Oriented Control (DFOC), three-level inverter; sinusoidal pulse width modulator (SPWM), maximum power point tracking (MPPT)

Online: 18 October 2022 (10:33:31 CEST)

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Preprint REVIEW | doi:10.20944/preprints202205.0399.v1

Non-Linear Reconstruction of Images from Patterns Generated by Deterministic or Random Optical Masks – Concepts and Review of Research

Daniel Smith, Shivasubramanian Gopinath, Francis Gracy Arockiaraj, Andra Naresh Kumar Reddy, Vinoth Balasubramani, Ravi Kumar, Nitin Dubey, Soon Hock Ng, Tomas Katkus, Shakina Jothi Selva, Dhanalakshmi Renganathan, Beaula Ruby Kamalam Manueldoss, Aravind Simon John Francis Rajeswary, Srinivasan Navaneethakrishnan, Stephen Rajkumar Inbanathan, Sandhra-Mirella Valdma, Praveen Periyasamy Angamuthu, Amudhavel Jayavel, Manoj Kumar, Rashid A Ganeev, Pierre J Magistretti, Christian Depeursinge, Saulius Juodkazis, Joseph Rosen, Vijayakumar Anand

Subject: Physical Sciences, Optics And Photonics Keywords: Holography; computational imaging; non-linear reconstruction; Fresnel incoherent correlation holography; coded aperture imaging; rotating point spread function; diffractive optics; scattering.

Online: 30 May 2022 (11:37:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202112.0032.v1

Characterization of Cardiopulmonary Interactions and Exploring Their Prognostic Value in Acute Bronchiolitis: A Prospective Cardiopulmonary Ultrasound Study

Moises Rodriguez-Gonzalez, Patricia Rodriguez-Campoy, Lorena Estepa-Pedregosa, Ana Estalella-Mendoza, Ana Castellano-Martinez, Jose Carlos Flores-Gonzalez

Subject: Medicine And Pharmacology, Pediatrics, Perinatology And Child Health Keywords: Acute bronchiolitis; Lung ultrasound; Echocardiography; Point of care ultrasonography; Cardi-opulmonary ultrasound; Cardiopulmonary interactions; Pulmonary hypertension; Myocardial strain; NT-proBNP

Online: 2 December 2021 (11:22:02 CET)

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We aimed to delineate cardiopulmonary interactions in acute bronchiolitis and to evaluate the capacity of a combined cardiopulmonary ultrasonography to predict the need for respiratory support. This was a prospective observational single-center study that includes infants < 12 month of age admitted to a hospital due to acute bronchiolitis. All the included patients under-went clinical, laboratory and cardiopulmonary ultrasonographic evaluation at the same time point within 24 hours of hospital admission. The existence of significant correlation between car-diac and respiratory parameters was the primary outcome. The association of different cardio-pulmonary variables with the need of respiratory support higher than O2, the length of stay hos-pitalization, the PICU stay, and the duration of respiratory support were a secondary outcome. We enrolled 112 infants (median age 1 (0.5-3) months; 62% males) hospitalized with acute bron-chiolitis. Increased values of the pulmonary variables (BROSJOD score, pCO2 and LUS) showed moderate correlations with NT-proBNP and all echocardiographic parameters indicative of pulmonary hypertension and myocardial dysfunction. Up to 36 (32%) infants required respira-tory support during the hospitalization. This group presented with higher lung ultrasound score (p<0.001), and increased values of Tei index (p<0.001) and pulmonary artery pressures (p<0.001). All the analyzed respiratory and cardiac variables showed moderate to strong correlations with the LOS hospitalization and the time of respiratory support. Lung ultrasound and echocardiog-raphy showed a moderate to strong predictive accuracy for the need of respiratory support in the ROC analysis, with AUC varying from 0.74 to 0.87. Conclusion: Those cases of bronchiolitis with a worse pulmonary status presented with a more impaired cardiac status. Cardiopulmonary ul-trasonography could be a good strategy to easily identify high-risk population for a complicated acute bronchiolitis hospitalization.

Preprint ARTICLE | doi:10.20944/preprints202107.0431.v1

Natural-Fibrous Lime-Based Mortar for the Rapid Retrofitting of Masonry Heritage

Marco Vailati, Micaela Mercuri, Michele Angiolilli, Amedeo Gregori

Subject: Engineering, Automotive Engineering Keywords: masonry; composite; short fibers; natural hydraulic lime; sisal; three-point bending test; fracture energy; strengthening; preservation; sustainability; carbon foot print

Online: 20 July 2021 (09:31:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202106.0665.v1

Coupled Delft3D-Object Model to Predict Mobility and Burial of Munition on Sandy Floor

Peter C. Chu, Vinicius S. Pessanha, Chenwu Fan

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: Delft3D; Object Mobility Model; Munitions Mobility and Burial; Object Shields Parameter; Sediment Shields Parameter; Equilibrium Burial Percentage; Sediment Supporting Point

Online: 28 June 2021 (14:24:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202101.0562.v1

On the Evaluation of Vacuum Energy Density in Quantum Field Theory

Ervin Goldfain

Subject: Physical Sciences, Particle And Field Physics Keywords: zero-point energy density; vacuum energy density; Standard Model parameters; mass spectrum; Renormalization Group flow; Higgs mechanism; cosmological constant problem

Online: 27 January 2021 (13:11:39 CET)

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Preprint ARTICLE | doi:10.20944/preprints202011.0447.v1

Optimal IP Current Controller Design Based on Small Signal Stability for THD Reduction of High-Power Density PFC Boost Converter

Ahmed H. Okilly, Jeihoon Baek

Subject: Engineering, Automotive Engineering Keywords: CCM-PFC; small signal model; IP controller; zero-crossing point; total harmonic distortion (THD); power factor (P.F); isolated voltage sensors

Online: 17 November 2020 (11:47:20 CET)

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Preprint ARTICLE | doi:10.20944/preprints201810.0309.v1

Highly Accurate and Fully Automatic 3–D Head Pose Estimation and Eye Gaze Estimation Using RGB-–D Sensors and 3D Morphable Models

Reza Shoja Ghiass, Denis Laurendeau

Subject: Computer Science And Mathematics, Computer Science Keywords: 3–D morphable models; 3–D head pose estimation; 3–D eye gaze estimation; iterative closest point; RGB–D sensors

Online: 15 October 2018 (12:38:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201809.0129.v1

Fibonacci-Mann Iteration for Monotone Asymptotically Nonexpansive Mappings in Modular Spaces

Buthinah A. Bin Dehaish, Mohamed A Khamsi

Subject: Computer Science And Mathematics, Analysis Keywords: Asymptotically nonexpansive mapping, Fibonacci sequence, fixed point, Mann iteration process, modular function spaces, monotone Lipschitzian mapping, Opial condition, uniformly convexity.

Online: 7 September 2018 (10:58:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201807.0505.v1

Advanced Iterative Procedures for Solving the Implicit Colebrook Equation for Fluid Flow Friction

Pavel Praks, Dejan Brkić

Subject: Engineering, Civil Engineering Keywords: Colebrook equation; Colebrook-White; iterative methods; three-point methods; turbulent flow; hydraulic resistances; pipes; explicit approximations; Newton-Rapson; Household’s methods

Online: 26 July 2018 (04:47:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201612.0002.v1

Change Point Estimation in Panel Data without Boundary Issue

Barbora Peštová, Michal Pešta

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: change point; estimation; consistency; panel data; short panels; boundary issue; structural change; bootstrap; non-life insurance; change in claim amounts

Online: 1 December 2016 (10:02:03 CET)

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Preprint ARTICLE | doi:10.20944/preprints202410.0853.v1

Interferon Signaling Activation and LINE1 Expression under Influence of Anticancer Plant Secondary Metabolites

Olga Vlasova, Irina Antonova, Khamis Magomedova, Alena Osipova, Polina Shtompel, Anna Borunova, Tatyana Zabotina, Gennady Belitsky, Irina Budunova, Albert Jordan, Kirill Kirsanov, Marianna Yakubovskaya

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: plant secondary metabolites; plant polyphenols; phytochemicals; DNA-binding compounds; anticancer effects; chromatin structure; linker histone depletion; type I interferon signaling; LINE1 transcription; double-stranded DNA ends

Online: 11 October 2024 (04:52:43 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.0621.v1

Advanced NMR, FT-IR, UV-VIS and XRD Methods Used for Characterization of Organo-Mineral Fertilizers Based on Biosolids

Ramona Crainic, Nagy Mihaela Elena, Fodorean Gabriel, Vasilescu Mihai, Pascuta Petru, Popa Florin, Radu Fechete

Subject: Environmental And Earth Sciences, Soil Science Keywords: Biosolids; organo-mineral fertilizers; 1H NMR relaxometry and double-quantum, 1H and 13C NMR, FT-IR and UV-VIS spectroscopy, PCA statistical analysis; machine learning predictions.

Online: 11 June 2024 (09:54:44 CEST)

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Working Paper ARTICLE

Quantum Interference in Classical Physics & and its Impact on the Foundations of Quantum Mechanics

Fritiof Wallentin

Subject: Physical Sciences, Quantum Science And Technology Keywords: The Koopman-von Neumann formulation of classical mechanics; THe measurement problem; Bell’s theorem; The EPR paradox; Schrödinger’s cat; The double-slit experiment; quantum interference; Probability theory

Online: 6 May 2021 (15:06:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201807.0258.v1

Hybrid Optical Cryptography and Compressive Sensing Based on Orthogonal Matching Pursuit

Ertan Atar, Okan Ersoy

Subject: Engineering, Electrical And Electronic Engineering Keywords: compressive sensing; orthogonal matching pursuit; hybrid optical cryptography; symmetric cryptography; asymmetric cryptography; Fourier related transforms; double random phase/amplitude optical key encryption; data compression; sensor reduction

Online: 16 July 2018 (07:36:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.1686.v1

Dynamic 3D Point Cloud Driven Autonomous Hierarchical Path Planning for Quadruped Robots

Qi Zhang, Ruiya Li, Jubiao Sun, Li Wei, Jun Huang, Yuegang Tan

Subject: Computer Science And Mathematics, Robotics Keywords: Quadruped robots; 3D point cloud; complex terrain; dynamic obstacles; particle swarm optimization (PSO); artificial potential field (APF); dynamic window approach (DWA)

Online: 29 February 2024 (11:41:10 CET)

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Preprint ARTICLE | doi:10.20944/preprints202309.1037.v1

Evaluation of Standard M10 Assay for Rapid Molecular Diagnosis of SARS-CoV-2, Influenza A/B virus and Respiratory Syncytial Virus (RSV)

Azwani Abdullah, I-Ching Sam, Yin Jie Ong, Chun Hao Theo, Muhammad Harith Pukhari, Yoke Fun Chan

Subject: Medicine And Pharmacology, Clinical Medicine Keywords: respiratory syncytial virus; influenza A virus; influenza B virus; SARS-CoV-2; rapid RT-PCR; diagnostic accuracy; point-of-care testing

Online: 15 September 2023 (05:38:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202007.0555.v1

Quantifying melt dynamics on a debris-covered Himalayan glacier using repeated UAS photogrammetry derived DSM and point cloud differencing

Niti Mishra, Gargi Chaudhuri, Kumar Mainali, Suraj Mal, Babulal Tiruwa, Paras Singh

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: UAS, debris-covered glacier, trans-Himalaya, aerial photogrammetry, structure from motion, DSM differencing, point cloud differencing, glacial mass balance, ice-cliffs

Online: 23 July 2020 (12:00:27 CEST)

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Debris-covered glaciers are a notable feature in the greater Himalaya, and their ongoing mass loss under changing climate will affect the water resources of over a billion people. The current knowledge of the mass balance of Himalayan glaciers is restricted by the paucity of in-situ measurements of glaciers in both space and time, as well as the resolution of satellite remote sensing imageries. Recently, the use of Unmanned Aerial System (UAS) imagery has shown the potential to bridge this gap by enabling very detailed monitoring of inaccessible glacial areas. UAS imagery-based monitoring of Himalayan glaciers has so far been limited to a single glacier in the entire Himalaya, providing a limited understanding of spatial variability in glacier mass balance and driving factors. In the first UAS based glacial mass change estimation in the trans-Himalaya, we conducted two Unmanned Aerial System (UAS) surveys (May and November 2019) over the debris-covered Annapurna III glacier in the Himalaya. We performed Structure-from-Motion (SfM) analysis and utilized differential GPS field observations to derive geometrically accurate point clouds, ortho-mosaics and digital surface models (DSMs). The glacial volumetric loss was estimated from DSM differencing, and the magnitude and spatial variability of glacier surface change was derived from 3-D differencing of point clouds. Results revealed a heterogeneous glacial melt pattern, with an average elevation loss of 0.89 m during the monitored time period. The majority of the glacial tongue exhibited surface lowering except the area above and around the glacial snout that surprisingly exhibited significant elevation gain. Both the highest magnitude of mass loss and the highest spatial variability in mass change was observed in areas with exposed ice-cliffs and supraglacial ponds. Glacial surface velocity derived from manual feature tracking showed velocity ranging from 0-4.1 m. A detailed evaluation of specific areas allowed an improved understanding of the complex interplay of factors leading to observed surface change. Our findings expand the extent of UAS based monitoring of debris-covered glaciers in the Himalaya and conclude that UAS derived 3D topographic products will become increasingly important for monitoring of thinning debris-covered glaciers.

Preprint ARTICLE | doi:10.20944/preprints201707.0030.v1

Strengths and Limitations of UAV and Ground-based Structure from Motion Photogrammetry in a Gullied Savanna Catchment

Jack Koci, Javier X. Leon, Ben Jarihani, Roy C. Sidle, Scott N. Wilkinson, Rebecca Bartley

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: digital elevation model; DEM; digital surface model; DSM; great barrier reef; gully erosion; multi-view stereo; point cloud; unmanned aerial vehicle

Online: 13 July 2017 (02:55:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1350.v1

Yuanyuan Liu, Koichi Jeremiah Aoki, Jingyuan Chen

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: heterogeneous kinetics; Butler-Vomer type; delay of the double layer capacitance; frequency dispersion; chnoroanperometry; ferrocenyl derivative; lowered diffusion-controlled current; time-dependent surface concentration; negatively capacitive current

Online: 18 May 2023 (14:22:40 CEST)

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Preprint REVIEW | doi:10.20944/preprints202001.0353.v1

Chromothripsis and DNA-repair Disorders

Lusine Nazaryan-Petersen, Victoria Alexandra Bjerregaard, Finn Cilius Nielsen, Niels Tommerup, Zeynep Tümer

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: chromothripsis; structural variants; DNA-repair; DNA-repair disorders; DNA-double strand breaks (DSBs); ataxia telangiectasia mutated (ATM); ataxia-telangiectasia and Rad3-related (ATR); TP53; micronuclei; chromosome pulverization.

Online: 29 January 2020 (11:58:58 CET)

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Preprint ARTICLE | doi:10.20944/preprints202406.0788.v1

Development and Comparative Evaluation of Traditional and Advanced MPPT Algorithms for PV Systems in Partial Shading Conditions

Robert Sørensen, Lucian Mihet-Popa

Subject: Engineering, Electrical And Electronic Engineering Keywords: Photovoltaic Systems; Partial Shading Conditions; Maximum Power Point Tracking; 14 Artificial Neural Networks; Fuzzy Logic Control; GreyWolf Optimization; Particle Swarm 15 Optimization

Online: 12 June 2024 (08:15:18 CEST)

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Preprint REVIEW | doi:10.20944/preprints202404.1899.v1

Human Sputum Proteomics: Advancing Non-Invasive Diagnosis of Respiratory Diseases with Enhanced Biomarker Analysis Methods

Norberto A. Guzman, Andrea Guzman

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: COVID-19; immunoaffinity capillary electrophoresis; lateral flow immunoassays; point-of-care testing; respiratory disease biomarkers; SARS-CoV-2 virus; sputome; sputum proteomics

Online: 29 April 2024 (10:06:53 CEST)

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Many ailments can be diagnosed while they are asymptomatic, meaning that the patient has no signs or symptoms of a progressing disease. If caught in their initial stage of formation, these maladies can be effectively treated, leading to successful outcomes; curative therapies can halt illnesses from advancing, thus improving the quality of life, and long-term survival of the patient. Still cutting-edge upgrades in precision technologies are necessary for early, reliable, affordable, and rapid disease detection, but also are vital for the well-being of people and the future of global public health. The emerging role and utility of non-invasive and repeatable diagnostic test approaches for detection of health conditions has been liquid biopsies based on genomic biomarkers. As such, biological fluids permit any measurable molecular indicator or signature (e.g., proteins), to provide valuable information on individual’s wellness and/or disease. Among the bodily secretions used for non-invasive diagnostics is sputum, a complex viscous gel-like biopolymeric network, that has gained growing recognition as a rich source of biomarkers of airway infections, pulmonary diseases, and serves as a determinant to reveal other illnesses. As per the World Health Organization, the burden of respiratory conditions is exacerbated by factors, ranging from considerable subjection to air pollution and occupational contaminants, to tobacco smoking and second-hand smoke, in addition to poor socio-economic status. Due to the likely increase of these determinants, respiratory tract ailments are on the rise, affecting the health of many individuals, in addition to putting stress on healthcare facilities and services worldwide. We therefore highlight the need to use expectorated or induced sputum specimens as a routine sample source for testing valuable protein biomarkers to diagnose these chronic maladies, to predict inflammation and disease progression, as well as monitor the effectiveness of treatments. Further, we discuss the urgency for fast and reliable point-of-care methods to detect and quantify crucial protein biomarkers in sputum specimens, and limitations faced when dealing with their complex matrices.

Preprint ARTICLE | doi:10.20944/preprints202309.0769.v1

Asymmetric Probabilistic Tsetlin Machine for Pattern Recognition

Negar Elmisadr, Mohamed Bachir Belaid, Anis Yazidi

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Asymmetric Probabilistic Tsetlin(APT) Machine; Tsetlin Automata(TA); stochastic point location (SPL); Asymmetric steps; random search; decaying normal distribution; state transition probability

Online: 12 September 2023 (11:30:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.0743.v1

Renovation or Redevelopment: The Case of Smart Decision-Support in Aging Buildings

Bin Wu, Reza Maalek

Subject: Engineering, Civil Engineering Keywords: sustainability; building information modeling (BIM); Artificial Intelligence; optimization; renovation; field information modeling (FIM); Point Cloud; embodied Carbon and energy; deconstruction and demolition

Online: 12 July 2023 (08:08:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0725.v3

The Effect of Dissociation on the Binocular Visual Response in Children

Danjela Ibrahimi, Marcos Aviles, Juvenal Rodríguez-Reséndiz

Subject: Medicine And Pharmacology, Ophthalmology Keywords: visual function; Howell test; alternate Cover test; Thorington test; dissociated phoria state; break value of near point of convergence; degree of stereopsis

Online: 22 June 2023 (10:43:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202301.0289.v1

Everett’s Interpretation and Convivial Solipsism

Hervé ZWIRN

Subject: Physical Sciences, Other Keywords: Measurement problem; Convivial Solipsism; Everett’s interpretation; QBism; Perspectival interpretation; Realism; Entanglement; Non-locality; EPR experiment; First person point of view; Wigner’s friend

Online: 17 January 2023 (01:32:40 CET)

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Preprint ARTICLE | doi:10.20944/preprints202301.0010.v1

Usefulness of Systemic Venous Ultrasound Protocols in the Prognosis of Heart Failure Patients: Results from a Prospective Multicentric Study

Marta Torres-Arrese, Arantzazu Mata-Martínez, Davide Luordo-Tedesco, Gonzalo García-Casasola, Rodrigo Alonso-González, Esther Montero-Hernández, Marta Cobo-Marcos, Beatriz Sánchez-Sauce, Valentín Cuervas-mons, Yale Tung-Chen

Subject: Medicine And Pharmacology, Cardiac And Cardiovascular Systems Keywords: point-of-care ultrasound; Doppler ultrasound; VExUS; venous excess ultrasonography; acute heart failure; portal vein; hepatic vein; intrarenal vein; inferior vena cava

Online: 3 January 2023 (07:33:46 CET)

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Preprint ARTICLE | doi:10.20944/preprints202207.0386.v1

On Improved PSO and Neural Network P&O Methods for PV System under Shading and Various Atmospheric Conditions

Wafa Hayder, Dezso Sera, Emanuele Ogliari, Abderezak Lashab

Subject: Engineering, Control And Systems Engineering Keywords: Maximum Power Point Tracking (MPPT); Improved Particle Swarm Optimization (IPSO); photo-voltaic (PV); Neural Network and Perturb & Observe method (NN-P&O)

Online: 26 July 2022 (05:41:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202009.0532.v2

First Immunohistochemical Evidence of Human Tendon Repair Following Stem Cell Injection: A Case Report and Review of Literature

Eckhard Alt, Ralf Rothoerl, Matthias Hoppert, Hans-Georg Frank, Tobias Wuerfel, Christopher Alt, Christoph Schmitz

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: adipose derived regenerative cells; ADRCs; efficacy; point of care treatment; stem cells; stromal vascular fraction; tendon healing without scar formation; tendon regeneration

Online: 28 June 2021 (15:47:12 CEST)

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Working Paper ARTICLE

Large Deviations and Information theory for Sub-Critical SINR Randon Network Models

Enoch Sakyi-Yeboah, Pepertual Saah Andam, Louis Asiedu, Kwabena Doku-Amponsah

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Large deviation principle; Sub-critical SINR random network model; Poisson point process; Empirical power measure; Empirical connectivity measure; Relative entropy; Kullback action

Online: 13 April 2021 (09:17:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202012.0697.v1

Repeat-Induced Point Mutations (RIP) Drives the Formation of Distinct Sub-Genomic Compartments in Fusarium Circinatum

Stephanie van Wyk, Brenda D. Wingfield, Nicolaas A. van der Merwe, Lieschen De Vos, Mkhululi Maphosa, Lizel Potgieter, Emma T. Steenkamp

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Repeat-Induced Point Mutations; RIP; Accessory Chromosome; Genome Compartmentalization; GC Content; Genetic Variation; Fusarium circinatum; Transposable Elements; Interstitial Telomeric Repeats; Effector Genes.

Online: 28 December 2020 (12:18:11 CET)

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Preprint ARTICLE | doi:10.20944/preprints201811.0361.v1

3D Scattering Imaging of Multiscale Geological Media on the Base of Revised Version of Exploding Reflectors

Evgeny Landa, Galina Reshetova, Vladimir Tcheverda

Subject: Environmental And Earth Sciences, Geophysics And Geology Keywords: Common Middle Point; Propagator; Spatial Reflector; small-scale heterogeneities; diffraction/scattering imaging; finite-difference simulation; local grid refinement in time and space.

Online: 15 November 2018 (11:18:18 CET)

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Preprint ARTICLE | doi:10.20944/preprints201810.0774.v1

A model free control based on machine learning for energy converters in an array

Simon Thomas, Marianna Giassi, Mikael Eriksson, Malin Göteman, Jan Isberg, Edward Ransley, Martyn Hann, Jens Engström

Subject: Engineering, Control And Systems Engineering Keywords: machine learning; wave energy; power take-off; artificial neural network; wave tank test; physical scale model; floating point absorber; damping; control; collaborative

Online: 2 November 2018 (12:35:44 CET)

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Preprint ARTICLE | doi:10.20944/preprints201808.0458.v1

A Robust Control of Two-Stage Grid-Tied PV Systems Employing Integral Sliding Mode Theory

Abbas Kihal, Fateh Krim, Billel Talbi, Abdelbaset Laib, Abdeslem Sahli

Subject: Engineering, Electrical And Electronic Engineering Keywords: grid-tied photovoltaic system; maximum power point tracking (MPPT); voltage oriented control (VOC); integral sliding mode control (ISMC)theory; dc-link control.

Online: 27 August 2018 (11:33:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.1678.v1

Segmental rib index and spinal deformity: aetiological implications

Theodoros B. GRIVAS, Nikola Jevtic, Danka Ljubojevic, Samra Pjanic, Filip Golic, Elias Vasiliadis

Subject: Public Health And Healthcare, Other Keywords: Idiopathic scoliosis; double rib contour sign; rib index; rib cage; Cobb angle; segmental rib index; rib hump deformity; Adams test; lateral standing radiographs; angle of trunk rotation; scoliometer

Online: 26 October 2023 (10:15:51 CEST)

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The aim of this report is to evaluate the segmental rib index (RI) from T1-T12 spinal level in mild and moderate idiopathic scoliosis (IS) curves of thoracic, thoracolumbar and lumbar type by gender. The relationship of segmental RI to the frontal plane radiological deformity presented as the Cobb angle and to the posterior truncal surface deformity presented as the scoliometric readings of Angle of Trunk Rotation (ATR) in these patients is also assessed. Any statistical significant rela-tionship of these parameters would be very important for biomechanical relations of the rib cage (RC) deformity presented as the rib hump deformity (RHD) and the deformity in the spine and it would thus provide valuable information about scoliogeny. The segmental rib index (RI) is presented in 83 boys and girls with mild and moderate IS. The measurements include the scoliometric readings for truncal asymmetry (TA), the Cobb angle assessment and the segmental RI from T1-T12. The statistical package SPSS 23 was used for statistical analysis. The TA is documented and the Cobb angle is presented by gender and curve type. The segmental RI of thoracic, thoracolumbar and lumbar curves are presented for the first time. The correlations of the segmental RI to surface deformity presented as the rib hump deformity (RHD) in all IS patients and particularly in thoracic curves, to Cobb angle by gender and age and the comparison of the segmental RI index of asymmetric but not scoliotic children to the scoliotic peers by curve (in thoracic, thoracolumbar, lumbar curves) in boys and girls are presented. The findings emphasize the significant protagonistic role of the thoracic asymmetry in relation to the spinal deformity mainly in girls for the thoracic and in boys for the thoracolumbar curves. The cut-off point of age of the examined scoliotics is 14 years, that is when the RI shows stronger correlation with the spinal deformity, namely when the thoracic deformity is decisively effective to the developing thoracic spinal deformity, in terms of Cobb angle. In summary, the results of this study provide aetiological implications for IS, as far as the role of thorax is con-cerned.

Preprint ARTICLE | doi:10.20944/preprints202308.0113.v1

The Double-Nozzle Technique Equipped with RF-Only Funnel and RF-Buncher for the Ion Beam Extraction into Vacuum

Victor Varentsov

Subject: Physical Sciences, Atomic And Molecular Physics Keywords: Keywords: gas stopping cell; supersonic gas jet; in-gas-jet laser resonance ionization spectroscopy; double-nozzle technique; RF-only funnel; RF-buncher; gas dynamic and Monte Carlo simulations

Online: 2 August 2023 (02:31:21 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1895.v1

An Integrated Photonic Biosensing Platform for Pathogen Detection in Aquaculture

Wout Knoben, Siegfried Graf, Florian Borutta, Zerihun Tegegne, Michael Ningler, Arthur Blom, Henk Dam, Kevin Evers, Rens Schonenberg, Anke Kristin Schütz-Trilling, Janneke Veerbeek, Roman Arnet, Mark Fretz, Vincent Revol, Thomas Valentin, Christopher Robert Bridges, Stephan Klaus Schulz, Joost van Kerkhof, Anne Leenstra, Farid Orujov, Henk van Middendorp

Subject: Physical Sciences, Optics And Photonics Keywords: optical biosensors; photonic structures for sensing; interferometry; hybrid integration; point-of-need sensors; aquaculture; pathogen detection; environmental monitoring; food safety and quality; diagnostics

Online: 27 June 2024 (00:03:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0102.v1

Efficient Multi-Change Point Analysis to decode Economic Crisis Information from the S&P500 Mean Market Correlation

Martin Heßler, Tobias Wand, Oliver Kamps

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Bayesian Multi-Change Point Analysis; Linear Trend Segment Fit; Computationally Efficient Open-Source Python Implementation; S&P500; Mean Market Correlation; Economic Crises; Econophysics

Online: 2 August 2023 (02:40:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.1294.v1

Generalized Bayes Prediction Study Based on Jointly Type-II Censored Sample from K-Exponential Populations

Yahya Abdel-Aty, Mohamed Kayid, Ghadah A. Alomani

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Generalized Bayes; learning rate parameter; exponential distribution; joint type-II censoring; point predictor; prediction intervals; squared-error loss; Linex loss; general entropy loss.

Online: 19 June 2023 (05:12:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202007.0462.v1

Unified Field Theory for Electromagnetic and Gravity Fields with the Introduction of Quantized Space–Time and Zero-Point Energy

Shinichi Ishiguri

Subject: Physical Sciences, Particle And Field Physics Keywords: unified field theory; zero-point energy; quantized space–time; quantized Einstein’s gravity equation; conservation of angular momentum in terms of quantized space–times

Online: 20 July 2020 (08:48:03 CEST)

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In our previous papers [1,3], using only the concepts of the zero-point energy and quantized space–times, all the fields including gravity were explained. However, the previous papers had the following limitations: First, the concept of the quantized space-time must be experimentally confirmed. Second, we should clarify the meaning of the quantized Einstein’s gravity equation, which is derived in [1]. Moreover, in another paper [2], we succeeded in describing the neutrinos’ self-energy and their oscillations. However, this paper assumes the rest energy of 3-leptons in advance, which is why we needed to uncover the reason why leptons have 3-generations. As mentioned, using the concepts of the zero-point energy and quantized space–times, we derived the quantized Einstein’s gravity equation in our previous paper [1]. The paper provides an analytical solution of this equalized Einstein’s equation, which implies the conservation of angular momentum in terms of quantized space–times. Employing this solution and without the standard big bang model, a unique form of acceleration equation for the acceleration-expansion universe is derived. Moreover, the temperature of the cosmic microwave background (CMB) emission is also obtained. Further, this solution results in an analytical (not numerical) derivation of the gravity wave. Moreover, based on the configuration of quantized space–times in terms of both electric and magnetic fields, we analytically attempted to calculate every equation in terms of electromagnetic and gravity fields, using the solution of the quantized Einstein’s gravity equation. As a result of this theory, first the calculated acceleration and temperature of CMB emission agree with the measurements. Furthermore, the analytical solution of the quantized Einstein’s gravity equation resulted in all the laws of electromagnetic and gravity fields in addition to the analytically derived gravity wave, which agrees well with the recent measurements. Moreover, the calculations of the energies in the basic configuration of the quantized space–times resulted in all 3-leptons’ rest energies. Considering this basic configuration is uniformly distributed everywhere in the universe, we can conclude that τ-particles or static magnetic field energy derived from the basic configuration of the quantized space–times is the identity of dark energy, which also distributes uniformly in the universe.

Preprint COMMUNICATION | doi:10.20944/preprints202408.0208.v2

Offsetting Dense Particle Sedimentation in Microfluidic Systems

Tochukwu D. Anyaduba, Jesus Rodriguez-Manzano

Subject: Engineering, Bioengineering Keywords: microfluidics; beads; sedimentation; cloud point; droplet microfluidics; phase change; surfactant; hindered settling; Richardson-Zaki; stokes law; fluid dynamics; fluid splitting; fluid metering; dense particles

Online: 12 August 2024 (03:34:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202202.0126.v1

Roach Infestation Optimization MPPT Algorithm for Solar Photovoltaic System

Chittaranjan Pradhan, Nicholas Kakra Ntiakoh, Rajnish Kaur Calay

Subject: Engineering, Electrical And Electronic Engineering Keywords: DC-DC Boost converter; Maximum power point tracking (MPPT); Partial shading condition (PSC); Particle swam optimization (PSO); Roach infestation optimization (RIO); Solar photovoltaic system

Online: 9 February 2022 (07:59:07 CET)

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Preprint ARTICLE | doi:10.20944/preprints202108.0272.v1

Remaining Useful Life Prediction from 3D Scan Data with Genetically Optimized Convolutional Neural Networks

Giovanni Diraco, Pietro Siciliano, Alessandro Leone

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: Remaining Useful Life; Deep Neural Network; Convolutional Neural Network; Genetic Optimization; Neural Network Optimization; Support Vector Regression; Depth Maps; Normal Maps; 3D Point Clouds.

Online: 12 August 2021 (10:40:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202108.0264.v1

Proposal Design of a Hybrid Solar PV-Wind-Battery Energy Storage for Standalone DC Microgrid Application

Mwaka Juma, Bakari M. M. Mwinyiwiwa, Consalva J. Msigwa, Aviti T. Mushi

Subject: Engineering, Electrical And Electronic Engineering Keywords: solar photovoltaic (PV); wind turbine coupled to permanent synchronous generator (WT-PMSG); battery energy storage (BESS); maximum power point tracking (MPPT); DC/DC converters

Online: 11 August 2021 (15:10:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201910.0080.v1

Theory on Neutrino Self-Energy and Neutrino Oscillation with Consideration of Superconducting Energy Gap and Fermi’s Golden Rule

Shinichi Ishiguri

Subject: Physical Sciences, Particle And Field Physics Keywords: neutrino; neutrino’s flavor; neutrino oscillation; many-body interactions; superconducting energy gap; a quantized space-time; zero-point energy; lepton; Fermi’s golden rule; mass gap

Online: 8 October 2019 (08:47:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201811.0581.v1

Implementation of Fuzzy C-Means and Possibilistic C-Means Clustering Algorithms, Cluster Tendency Analysis and Cluster Validation

Md. Abu Bakr Siddique, Rezoana Bente Arif, Mohammad Mahmudur Rahman Khan, Zahidun Ashrafi

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Two-dimensional clustering, Soft clustering, Fuzzy c-means(FCM), Possibilistic c-means (PCM), cluster tendency, VAT algorithm, cluster validation, PC, DI, DBI, noise point

Online: 26 November 2018 (10:19:05 CET)

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Preprint ARTICLE | doi:10.20944/preprints202409.0352.v1

Novel Accelerated Cyclic Iterative Approximation for Hierarchical Variational Inequalities Constrained by Multiple-Set Split Common Fixed Point Problems

Yao Ye, Hengyou Lan

Subject: Computer Science And Mathematics, Computational Mathematics Keywords: novel accelerated cyclic iterative approximation; hierarchical variational inequality problem; multiple-set split common fixed point problem; quasi-pseudocontractive mapping; inertial technique; self-adaptive step size

Online: 5 September 2024 (02:31:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1489.v1

Numerical Modeling and Simulation of Vehicular Crashes Into Three-Bar Metal Bridge Rail

Howie Fang, Christopher Jaus, Qian Wang, Emre Palta, Lukasz Pachocki, Dawid Bruski

Subject: Engineering, Civil Engineering Keywords: Three-bar metal bridge rail (TMBR); Manual for Assessing Safety Hardware (MASH); Vehicular crash; Finite element (FE); Numerical simulation; Highway safety; Critical impact point (CIP)

Online: 18 July 2024 (10:46:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202311.1927.v1

Simple Non-linear Numerical Modelling for Unreinforced and Frp-Reinforced Masonry Domes

Alessandro Gandolfi, Natalia Pingaro, Gabriele Milani

Subject: Engineering, Civil Engineering Keywords: hemispherical dome; axisymmetric loading; masonry construction; heterogeneous approach; Nonlinear Static Analysis; No-Tension Material; Point Contact Elements; Unilateral Frictional Contact; Orthotropic Material; Cutoff Bars; CFRP

Online: 30 November 2023 (04:12:29 CET)

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